HonorVet Technologies. We''re a veteran-owned IT staffing firm, ISO 9001 and ISO 27001 certified, working with federal agencies, state governments, and Fortune 500 enterprise clients across the US. What makes us different isn''t a tagline; it''s the way we work. We don''t forward resumes and hope for the best. We take the time to understand where a professional like you is headed and only reach out when we genuinely believe there''s a fit worth exploring.
Position Title: Senior Data EngineerLocation: Los Angeles, CA 90012 (Onsite)
Duration: 12 Months Position OverviewWe are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions. The role focuses on developing robust ETL/ELT processes, optimizing data architectures, and enabling high-quality analytics and reporting across enterprise systems.
The ideal candidate will have strong experience in cloud data platforms, big data technologies, data modeling, and data governance, along with hands-on engineering expertise in Python and SQL
. Key Responsibilities- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows
- Build and optimize data models, schemas, and data warehouse solutions
- Develop and support cloud-based data solutions using modern data platforms
- Integrate and manage APIs for data ingestion and distribution
- Implement and maintain data governance, security, and compliance standards
- Monitor, troubleshoot, and optimize data processing workflows
- Collaborate with BI and analytics teams to support reporting and insights
- Develop infrastructure automation using CI/CD and IaC tools
- Ensure performance, scalability, and reliability of data systems
Required Skills & QualificationsCloud & Data Platforms- Strong experience with Azure ecosystem (ADF, Data Lake, Blob Storage, Functions)
- Experience with Databricks and Apache Spark
Data Engineering- Strong experience in ETL/ELT pipeline development
- Data modeling, schema design, and data warehousing concepts
- Experience with OLTP/OLAP systems and performance tuning
Programming- Strong proficiency in Python and SQL
- Exposure to Scala or R is a plus
Big Data & Analytics- Experience with Spark, PySpark, and Databricks
- Familiarity with BI tools such as Power BI or Tableau
Data Governance & Security- Knowledge of RBAC/ABAC, data lineage, and data security practices
- Experience implementing monitoring and audit controls in cloud environments
DevOps & Infrastructure- Experience with Git and CI/CD pipelines
- Familiarity with Terraform and infrastructure-as-code
- Experience with YAML-based deployment automation
Experience Required- 7+ years of experience in data engineering or enterprise data architecture
- 5+ years of hands-on experience with Azure Data Factory and Databricks
- 5+ years of experience building data pipelines using Python and SQL
- 5+ years of experience with data warehousing and BI integration
- 5+ years of experience with CI/CD pipelines and cloud infrastructure automation
- Strong experience working with Lakehouse or modern data architecture
EducationBachelor’s degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience).
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